{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NAKXFR47ROMRUZ7WENHKNUKRTZ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"99d015618b3fc0427aecbaa2231bafe31e9f7c39d681fb3c4438981458f15a21","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-04-21T09:28:45Z","title_canon_sha256":"fab226a69e1e2ca3ee04a4eecfcf1936249c64d1a1187860a8051ecf7436baad"},"schema_version":"1.0","source":{"id":"2604.19265","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2604.19265","created_at":"2026-05-20T01:05:14Z"},{"alias_kind":"arxiv_version","alias_value":"2604.19265v2","created_at":"2026-05-20T01:05:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2604.19265","created_at":"2026-05-20T01:05:14Z"},{"alias_kind":"pith_short_12","alias_value":"NAKXFR47ROMR","created_at":"2026-05-20T01:05:14Z"},{"alias_kind":"pith_short_16","alias_value":"NAKXFR47ROMRUZ7W","created_at":"2026-05-20T01:05:14Z"},{"alias_kind":"pith_short_8","alias_value":"NAKXFR47","created_at":"2026-05-20T01:05:14Z"}],"graph_snapshots":[{"event_id":"sha256:b7c3273bdef698b5024d504fb75855b9c495087bf3dfe77998dd998aea42b20d","target":"graph","created_at":"2026-05-20T01:05:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"ASCA is the current state-of-the-art chemometric tool for analyzing and interpreting high-dimensional experimental data from a Design of Experiment (DoE)."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The recommendations are grounded in a comprehensive literature review and illustrated through a guiding example that accurately reflects current best practices in the field."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"ASCA extends ANOVA to multivariate DoE data, and the paper recommends best practices grounded in a century of theory and illustrated by example."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"ASCA extends ANOVA to multivariate high-dimensional data from designed experiments."}],"snapshot_sha256":"6dbe14f3fd13a712de3e4f48ceba00a46cc24f3fc22a622611ef97b04ed8a943"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2604.19265/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"ANOVA Simultaneous Component Analysis (ASCA) is the current state-of-theart chemometric tool for analyzing and interpreting high-dimensional experimental data from a Design of Experiment (DoE). Being a multivariate extension of the ANOVA, ASCA makes a perfect tandem with DoE. This tutorial review recommends best practices for using ASCA, building upon the long-established combination of ANOVA and DoE theory developed over the last century. These recommendations are grounded in a comprehensive literature review and illustrated through a guiding example.","authors_text":"Daniel Schorn-Garc\\'ia, Johan A. Westerhuis, Jokin Ezenarro, Jos\\'e Camacho","cross_cats":[],"headline":"ASCA extends ANOVA to multivariate high-dimensional data from designed experiments.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-04-21T09:28:45Z","title":"From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2604.19265","kind":"arxiv","version":2},"verdict":{"created_at":"2026-05-10T02:39:40.859808Z","id":"e3b2f7dc-e1ff-4c62-a481-96ec666e2b01","model_set":{"reader":"grok-4.3"},"one_line_summary":"ASCA extends ANOVA to multivariate DoE data, and the paper recommends best practices grounded in a century of theory and illustrated by example.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"ASCA extends ANOVA to multivariate high-dimensional data from designed experiments.","strongest_claim":"ASCA is the current state-of-the-art chemometric tool for analyzing and interpreting high-dimensional experimental data from a Design of Experiment (DoE).","weakest_assumption":"The recommendations are grounded in a comprehensive literature review and illustrated through a guiding example that accurately reflects current best practices in the field."}},"verdict_id":"e3b2f7dc-e1ff-4c62-a481-96ec666e2b01"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1a3fa8aa35c1614207a633286d13fdceb0dddbd73dacc2db4af69872a87e8b11","target":"record","created_at":"2026-05-20T01:05:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"99d015618b3fc0427aecbaa2231bafe31e9f7c39d681fb3c4438981458f15a21","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-04-21T09:28:45Z","title_canon_sha256":"fab226a69e1e2ca3ee04a4eecfcf1936249c64d1a1187860a8051ecf7436baad"},"schema_version":"1.0","source":{"id":"2604.19265","kind":"arxiv","version":2}},"canonical_sha256":"681572c79f8b991a67f6234ea6d1519e703c8ccb2245dcc236f23470d3dd4467","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"681572c79f8b991a67f6234ea6d1519e703c8ccb2245dcc236f23470d3dd4467","first_computed_at":"2026-05-20T01:05:14.018716Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:14.018716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zvvkfy2wVUCUbC4XX8ouQzEfuiS/ctyBuei5yzupyJUGtK8wZVLyiQ7fDJZlZFO5X4PiO06kuP2vqDuweVTSDg==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:14.019498Z","signed_message":"canonical_sha256_bytes"},"source_id":"2604.19265","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a3fa8aa35c1614207a633286d13fdceb0dddbd73dacc2db4af69872a87e8b11","sha256:b7c3273bdef698b5024d504fb75855b9c495087bf3dfe77998dd998aea42b20d"],"state_sha256":"4823f2a7a7b4ece7e52a5280e99d5b8de61720f04e2a6e8d79d5c6b4c30f3d2f"}